We present a new method for the incremental training of multiclass Support Vector Machines that provides computational efficiency for training problems in the case where the trai...
Abstract— We present a path planning method for autonomous underwater vehicles in order to maximize mutual information. We adapt a method previously used for surface vehicles, an...
Jonathan Binney, Andreas Krause, Gaurav S. Sukhatm...
In the past few years, research in the domain of networkon-chip has been concentrated on application-specific approaches. These approaches are design-time parameterized approache...
In this paper, an unsupervised learning algorithm, neighborhood linear embedding (NLE), is proposed to discover the intrinsic structures such as neighborhood relationships, global ...
Shuzhi Sam Ge, Feng Guan, Yaozhang Pan, Ai Poh Loh
In this paper we propose a novel technique to perform real-time rendering of translucent inhomogeneous materials, one of the most well known problems of Computer Graphics. The deve...
D. Bernabei, Fabio Ganovelli, Nico Pietroni, Paolo...